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One-Dimensional Chaotic Function for Financial Applications Using Soft Computing Techniques

  • A. Alli
  • J. Vijay FidelisEmail author
  • S. Deepa
  • E. Karthikeyan
Conference paper
  • 20 Downloads
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 127)

Abstract

cash forecasting is essential as a delay in process could lead to dissatisfaction of customers in financial organization. to maintain the actual cash requirement without any financial loss is difficult. particle swarm optimization (pso) enhanced the efficiency to converge the dataset and it will be easier to fall into local optima might prove fatal. hence, chaotic system has been introduced to significantly enhance the interpretation toward cash management model for any financial organization. in the proposed study, one-dimensional chaotic-particle swarm optimization (cpso) functions were used to improve the search strategy in the given problem space to yield the optimal values. the experimental analysis was made using chaotic sequence which shows the effectiveness of our proposed approach. hence, the proposed methodology has the ability to increase the convergence rate without premature convergence.

Keywords

Cash forecasting PSO Chaotic sequence Strategy Convergence 

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  • A. Alli
    • 1
  • J. Vijay Fidelis
    • 1
    Email author
  • S. Deepa
    • 1
  • E. Karthikeyan
    • 2
  1. 1.Department of Computer ApplicationsPresidency CollegeBengaluruIndia
  2. 2.Department of Computer ApplicationGovernment Arts CollegeUdumalpet, Tirupur, CoimbatoreIndia

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